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Watch Martin White explain the unsupervised analysis technique of clustering and its many applications.

Key points from the video:

  • Clustering is an unsupervised analysis technique that divides data points into groups or clusters.
  • When data is clustered, similar points belong to the same cluster and dissimilar points belong to different clusters.
  • Clustering can help you get to know the demographics of your customer base.
  • The results of an unsupervised clustering analysis can help you define a precise problem.
  • There are many applications of clustering outside of customer and product data.
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Data Analytics for Managers

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